Project for NYU Foundations of Machine Learning CSCI-GA 2566: Against Adversarial examples generated by AutoAttack from CIFAR-10 with Linf and radius 8/255
License: MIT License
Python 100.00%
adversarial-robustness-via-enforcing-1-lipschitz-function's People
I am Vansin, the technical operator of OpenMMLab. In September of last year, we announced the release of OpenMMLab 2.0 at the World Artificial Intelligence Conference in Shanghai. We invite you to upgrade your algorithm library to OpenMMLab 2.0 using MMEngine, which can be used for both research and commercial purposes. If you have any questions, please feel free to join us on the OpenMMLab Discord at https://discord.gg/amFNsyUBvm or add me on WeChat (van-sin) and I will invite you to the OpenMMLab WeChat group.